Dein persönlicher KI-Karriere-Agent
Internship for Students of Computational Biology, Computational Chemistry, Applied Mathematics(m/w/x)
Physics-based modeling and de novo computational protein design using deep generative models. Master's degree or PhD enrollment, with protein engineering experience required. Full-time internship with cross-functional team collaboration.
Anforderungen
- Master's degree within last year or enrolled in PhD
- Strong understanding of protein structure and function
- Previous experience in protein engineering or computational protein design
- Strong publication record and research community contribution
- Strong Python programming skills
- Proficiency with deep learning framework (PyTorch, TensorFlow, JAX)
Aufgaben
- Conduct cutting-edge research in physics-based modeling
- Apply machine learning to drug discovery and design
- Collaborate with cross-functional teams on complex problems
- Focus on de novo computational protein design
- Utilize deep generative models in research
- Integrate physics-, chemistry-, and biology-informed methods
- Develop and implement research ideas
- Support wet lab biology and computational modeling
- Drive and sharpen research questions
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- TensorFlow
- JAX
Benefits
Sonstige Vorteile
- Full-time basis
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- RocheVollzeitPraktikumnur vor OrtBasel
- Roche
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Internship for Students of Computational Biology, Computational Chemistry, Applied Mathematics(m/w/x)
Physics-based modeling and de novo computational protein design using deep generative models. Master's degree or PhD enrollment, with protein engineering experience required. Full-time internship with cross-functional team collaboration.
Anforderungen
- Master's degree within last year or enrolled in PhD
- Strong understanding of protein structure and function
- Previous experience in protein engineering or computational protein design
- Strong publication record and research community contribution
- Strong Python programming skills
- Proficiency with deep learning framework (PyTorch, TensorFlow, JAX)
Aufgaben
- Conduct cutting-edge research in physics-based modeling
- Apply machine learning to drug discovery and design
- Collaborate with cross-functional teams on complex problems
- Focus on de novo computational protein design
- Utilize deep generative models in research
- Integrate physics-, chemistry-, and biology-informed methods
- Develop and implement research ideas
- Support wet lab biology and computational modeling
- Drive and sharpen research questions
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- TensorFlow
- JAX
Benefits
Sonstige Vorteile
- Full-time basis
Über das Unternehmen
Roche
Branche
Pharmaceuticals
Beschreibung
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
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